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Record W2924423492 · doi:10.1111/jzo.12665

Endocranial shape variation in the squirrel‐related clade and their fossil relatives using 3D geometric morphometrics: contributions of locomotion and phylogeny to brain shape

2019· article· en· W2924423492 on OpenAlexafffund
Ornella Bertrand, Gabriela San Martin‐Flores, Mary Silcox

Bibliographic record

VenueJournal of Zoology · 2019
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicEvolution and Paleontology Studies
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Toronto
KeywordsEndocastFossorialBiologyCladeHeterochronyMorphometricsEvolutionary biologyZoologyBrain sizePhylogeneticsPaleontologySkull

Abstract

fetched live from OpenAlex

Abstract Landmark‐based 3D geometric morphometrics has rarely been employed to understand the relationship between endocranial shape, phylogeny and ecology. The goal of this study is to examine the endocranial morphology of members of the squirrel‐related clade by using these methods, and to develop a multi‐faceted framework for studying brain evolution applicable to other groups. The squirrel‐related clade is taxonomically and ecologically diverse, and includes tree squirrels, the mountain beaver and dormice. Virtual endocasts for Ischyromyidae, a primitive group of rodents likely to be related to the squirrel‐related clade, were also included. Thirty landmarks were taken on virtual endocasts derived from 32 extant and extinct species. The results show that endocranial shape and size are significantly correlated in that smaller endocasts are relatively wider laterally than larger endocasts. The principal components analysis ( PCA ) reveals that endocranial shape is clearly distinct for Sciuridae, Aplodontidae, Gliridae and Ischyromyidae. Endocranial shape variation is associated with changes in the development of the neocortex, cerebellum (including the paraflocculi) and olfactory bulbs. The K mult test shows that endocranial shape reflects phylogenetic relationships among the four families and within Sciuridae. In the PCA analysis, flying squirrels show the most distinct endocranial morphology among squirrels, overlapping the least with other tribes and subfamilies. This result suggests that gliding may have imposed specific constraints on cranial shape. The endocasts of fossil and modern fossorial Aplodontidae have a shape similar to those of Ischyromyidae. This similarity could be the result of homoplasy related to fossorial specialization in later occurring Aplodontidae. The fossil Sciurini Protosciurus is outside the range of variation for modern squirrels, suggesting that the emergence of the modern squirrel endocranial bauplan may have not been established until after the early Miocene. From the data gathered, phylogeny and locomotion both impacted endocranial shape in our rodent sample.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.265

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.248
Teacher spread0.231 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations29
Published2019
Admission routes2
Has abstractyes

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